Artificial Intelligence (AI) has the potential to change the direction of human civilisation. A recent report published by Gartner highlights a unique hype cycle that features emerging technologies which, researchers believe, will significantly affect business, society and people in the next 5-10 years. The list showcase technologies right from the algorithmic trust to advanced AI. Here are exclusive AI technologies highlighted in the Gartner’s report.
1. Embedded AI
Edge computing systems have garnered significant attention in today’s age. As we approach the era of IoT, 5G and portable medical devices, we must facilitate developers to develop and deploy edge applications. One such example is NVIDIA Jetson AGX Xavier developer kit. The kit can create and deploy end-to-end AI robotics applications for manufacturing, retail, smart cities, and more.
2. Generative AI
AI can paint an auction worthy art, generate songs, and even create faces of those people who never existed before. These networks are now considered to be one of the most critical turning points. The proliferation of generative networks has many unwanted results. Generative network and AI can help in inferencing with the matters of national interest and more.
3. Responsible and explainable AI
ML algorithms are famous for black-box nature. Right from inductive biases to GDPR compliance, AI companies have many things to take care of. To make the process inculcating, responsible AI systems are proven more viable, tools including model cards, AI 360, and many are released by Google, IBM etc.
4. Self Supervised Learning
Most of the AI R&D efforts converge at making AGI possible. The idea to equip machine learning algorithms to interact with human-like reasoning is tricky and difficult. In areas such as medical imaging, the availability of pre-trained models are almost negligible.
5. AI-augmented development
Gartner’s report highlights that application leaders should embrace AI-augmented development. They are assisting companies in the design, software development lifecycle and deployment of products. AI has the potential to take care of mundane debugging tasks through automation. Some of the tools offer low code and no code services.
[Source: TECHGIG]